Udacity Machine Learning Nanodegree Project
-
Updated
Dec 14, 2018 - HTML
Udacity Machine Learning Nanodegree Project
Deep Reinforcement Learning using pytorch - Bananas
Konark Karna | AI Blog
Udacity Nanodegree - Machine Learning - Supervised Learning, Unsupervised Learning, and Reinforcement Learning
During this final project, we will build a deep neural network and use reinforcement learning to solve a cart and pole balancing problem using OpenAI. OpenAI Gym is a tookit for developing and comparing reinforcement learning algorithms that was built by OpenAI, a non-profit artificial intelligence research company founded by Elon Musk and Sam A…
Implement popular DRL algorithms (REINFORCE, PPO, DQN, Dueling Net, Prioritized Experience Replay, DDPG, MADDPG, A2C, etc.)
A combination of reinforcement and evolutionary learning are used in an attempt to allow autonomous vehicles to learn behaviors necessary for the navigation of an intersection in a simple 2D traffic simulator. The open source AIM4 simulator developed by the Learning Agents Research Group at The University of Texas was extended to implement a spe…
Learning to play tennis from scratch with AlphaGo Zero style self-play using DDPG
Reinforcement learning variance comparison under function approximation.
Learning Continuous Control in Deep Reinforcement Learning
Add a description, image, and links to the reinforcement-learning-algorithms topic page so that developers can more easily learn about it.
To associate your repository with the reinforcement-learning-algorithms topic, visit your repo's landing page and select "manage topics."